Engineering Manager | Generative AI | LLM | Mlops

About Company I am currently partnering with an established global technology multinational expanding its specialized healthcare AI division. They focus on building next-generation digital cloud platforms and intelligent automation systems to optimize complex clinical workflows. About Job Engineering Leadership: Scale, mentor, and guide a top-tier engineering team building production-ready AI solutions. Architecture & Delivery: Drive the end-to-end design, construction, and deployment of enterprise-scale LLM applications and Generative AI systems. Agentic Workflows: Lead the creation of advanced multi-agent systems, covering orchestration, tool integrations, memory, and continuous execution. MLOps & Quality: Establish robust AI engineering practices spanning model benchmarking, continuous testing, CI/CD pipelines, and inference optimization. Cross-Functional Synergy: Partner closely with research scientists and product owners to translate complex prototypes into commercial software products. Emerging Tech Adoption: Continuously evaluate, test, and integrate cutting-edge AI frameworks to elevate system performance and engineering productivity. Skills and Requirements Proven Experience: 8+ years in software, ML, or AI engineering, including 3+ years in direct technical leadership delivering production-grade AI systems. Generative AI Mastery: Practical hands-on expertise with LLM application design, fine-tuning, domain adaptation, and structured prompt engineering/tool calling. Retrieval & Agents: Demonstrated background building RAG architectures, knowledge retrieval systems, and agentic AI orchestration frameworks. Core Tech Stack: Advanced proficiency with Python, PyTorch, and the Hugging Face ecosystem. Cloud & Infrastructure: Hands-on experience with cloud-native deployment using Docker, Kubernetes, and major platforms like GCP or Azure. Strong Advantage: 5+ years of dedicated, deep-dive experience specifically focused on Python, LLMs, and Google Cloud Platform (GCP) To apply online please use the 'apply' function, alternatively you may contact Evangeline. (EA: 94C3609/ R24124002)